使用pydot实现紧凑的图形可视化开发者社区

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import networkx as nx
from networkx.drawing.nx_pydot import to_pydot
G = nx.DiGraph()
G.add_node("XYZ 1.0")
for i in range(1, 20):
    G.add_node(f'XYZ 1.{i}', style='filled', fillcolor='skyblue')
    G.add_edge(f'XYZ 1.{i-1}', f'XYZ 1.{i}')
# set defaults
G.graph['graph'] = {'rankdir': 'LR'}
G.graph['node'] = {'shape': 'rectangle'}
G.graph['edges'] = {'arrowsize': '4.0'}
pydt = to_pydot(G)
prog = 'dot'
file_name = f'nx_graph_{prog}.png'
pydt.write(file_name, prog=prog, format="png")

import networkx as nx
from networkx.drawing.nx_pydot import to_pydot
import pydot
from typing import List
G = nx.DiGraph()
G.add_node(0, label="XYZ 1.0")
for i in range(1, 20):
    G.add_node(i, label=f'XYZ 1.{i}')
    G.add_edge(i - 1, i)
# set defaults
G.graph['graph'] = {'rankdir': 'LR'}
G.graph['node'] = {'shape': 'rectangle'}
G.graph['edges'] = {'arrowsize': '4.0'}
pydt = to_pydot(G)
dot_data = pydt.create_dot()
pydt2 = pydot.graph_from_dot_data(dot_data.decode('utf-8'))[0]
def get_position(node):
    pydot_node = pydt2.get_node(str(node))[0]
    return [float(i) for i in pydot_node.get_attributes().get("pos")[1:-1].split(',')]
def fix_position(position: List, w: float = 1000, shift: float = 80):
    x_orig, y_orig = position
    n = int(x_orig / w)
    y = y_orig - n * shift
    remain_x = x_orig - n * w
    if n % 2 == 0:
        x = remain_x
    else:
        x = w - remain_x
    return x, y
def refresh_coordinates_using_x():
    for node in G.nodes:
        position = get_position(node)
        x, y = fix_position(position)
        pos = f'"{x},{y}!"'
        G.nodes[node]['pos'] = pos

问 使用pydot实现紧凑的图形可视化 EN

回答 1

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